Big data

By:

Maheshwari, Anil

Material type: Text

TextPublication details: McGraw Hill Education (India) Pvt. Ltd. Chennai 2020Edition: 2ndDescription: xviii, 273 pISBN:

9789353167950

Subject(s):

Big data

DDC classification:

006 MAH

Summary: Overview This thoroughly revised second edition introduces application of big data to various domains --- from farming to healthcare to managing traffic and many more. The book takes a big leap with introduction of three new primer on Data Modeling and Management, Artificial Intelligence and careers in Data Science. Important topics like Big Data Programming languages are simplified and areas like MongoDB expanded. The key concepts and technological developments are explained with illustrations. This simple and easy to understand book is aimed at final year students of Computer Science, professionals and big data enthusiasts. With a series of pictures at the beginning of every chapter from nature and human interaction with it, the book tells a parallel story about life cycle and the many aspects of big data.

List(s) this item appears in: IT & Decision Sciences | Marketing

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006 MAH (Browse shelf(Opens below))	1	Available		002451

Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)

Previous								Next
Previous	005.8 VER Cybersecurity analytics	005.824 BUE Fundamentals of cryptography: introducing mathematical and algorithmic foundations	005.824 DHU Blockchain in e-governance:	006 MAH Big data	006.22 TAH Cyber-physical systems: a model-based approach	006.3 ACE Redesigning AI:	006.3 AGG Artificial intelligence: a textbook	Next

Table of content

Chapter 1 Wholeness of Big Data
Chapter 2 Big Data Sources and Applications
Chapter 3 Big Data Architecture
Chapter 4 Distributed Computing Using Hadoop
Chapter 5 Parallel Processing with Map Reduce
Chapter 6 NoSQL Databases
Chapter 7 Stream Processing with Spark
Chapter 8 Data Ingest with Kafka
Chapter 9 Cloud Computing
Chapter 10 Big Data Programming Languages
Chapter 11 Web Log Analyzer Application Development
Chapter 12 Data Modelling Primer
Chapter 13 Data Analytics Primer
Chapter 14 Artificial Intelligence Primer
Chapter 15 Data Science Careers

Overview
This thoroughly revised second edition introduces application of big data to various domains --- from farming to healthcare to managing traffic and many more. The book takes a big leap with introduction of three new primer on Data Modeling and Management, Artificial Intelligence and careers in Data Science. Important topics like Big Data Programming languages are simplified and areas like MongoDB expanded. The key concepts and technological developments are explained with illustrations.
This simple and easy to understand book is aimed at final year students of Computer Science, professionals and big data enthusiasts.
With a series of pictures at the beginning of every chapter from nature and human interaction with it, the book tells a parallel story about life cycle and the many aspects of big data.

There are no comments on this title.

to post a comment.